code: def _reset_seed():
      """Reset RNG state in order to reproduce the results across multiple runs"""
      torch.manual_seed(TEST_SEED)
      np.random.seed(TEST_SEED)
  
imports: import argparse
  import contextlib
  import coremltools
  from diffusers import StableDiffusionPipeline
  import json
  import logging
  import numpy
  import os
  import unittest
  from PIL import Image
  from statistics import median
  import tempfile
  import time
  import torch
  from python_coreml_stable_diffusion import torch2coreml, pipeline, coreml_model
label_desc: Use image node_id 1 for calling a global function with example usage: _reset_seed() without return types